2

Remote Splunk Jobs in Baltimore, MD (NOW HIRING)

Test Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0242445 Location: Annapolis Junction,MD,US Share job via: Share Test ... Knowledge of Splunk * Knowledge of Jenkins or other continuous integration frameworks Clearance:

Remote Duration: 12 Months Contract Job Summary: The Platform Architect will lead USCIS enterprise ... Splunk, New Relic, SolarWinds, SCOM. Work Conditions * Remote‑first with occasional travel to NCR ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) * Comprehensive ...

Senior Site Reliability Engineer

Baltimore, MD · On-site +1

$160K - $240K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) * Comprehensive ...

Test Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0234639 Location: Annapolis Junction,MD,US Share job via: Share Test ... Knowledge of Splunk * Knowledge of Jenkins or other continuous integration frameworks Clearance:

Junior Cloud Engineer

Baltimore, MD · Remote

$50K - $65K/yr

This is a remote position. Residency Requirement: Candidates MUST have lived in the U.S. for at ... or Splunk to ensure system stability and performance. * Participate in developing alerting ...

Security Engineer - Junior

Lanham, MD · On-site +1

$60K - $110K/yr

SIEM platforms (Splunk, ELK, CloudWatch) * Compliance tools (eMASS, Archer) * Identity solutions (Okta, SailPoint) * Familiarity with Terraform, Git, and cloud-native security best practices.

Site Reliability Engineer

Columbia, MD · On-site +1

$55.50 - $73.75/hr

Hybrid Columbia MD 3 times per week OR Remote (as applicable to role) Work Authorization ... Experience with tools such as Splunk, Datadog, Prometheus, or similar observability platforms

Customer Sales Engineer

Baltimore, MD · Remote

$100K - $130K/yr

SIEMs like Splunk; or other security stack tools). * Product Expert Mindset: A passion for becoming ... Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not ...

next page

Showing results 1-20

Remote Splunk information

See Baltimore, MD salary details

$40

$59

$76

How much do remote splunk jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote splunk in Baltimore, MD is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $65.91 per hour, depending on experience, location, and employer.

What is a Remote Splunk job?

A Remote Splunk job involves working with Splunk, a data analysis and monitoring platform, from a remote location. Responsibilities typically include configuring, managing, and troubleshooting Splunk environments, creating dashboards, and analyzing log data to identify security or operational issues. These roles are common in cybersecurity, IT operations, and data analytics. Remote Splunk professionals need expertise in Splunk software, data ingestion, scripting, and sometimes cloud platforms.

What does a typical workday look like for someone in a Remote Splunk role?

In a Remote Splunk role, your day typically involves monitoring and analyzing log data to detect security incidents, creating and optimizing Splunk queries, building dashboards, and collaborating with IT or security teams to troubleshoot issues. Most tasks are performed independently from your home office, but you’ll often participate in virtual meetings to review findings, implement solutions, and support ongoing projects. You may also spend time documenting processes, providing input on best practices, and staying updated on new Splunk features or security trends. This remote structure allows for flexibility while remaining highly connected to team goals and incident response efforts.

What are the key skills and qualifications needed to thrive in the Remote Splunk position, and why are they important?

To excel as a Remote Splunk professional, you need strong analytical skills, experience with Splunk or SIEM tools, and a background in IT, cybersecurity, or systems administration. Familiarity with Splunk Enterprise, Splunk Cloud, SPL (Search Processing Language), and relevant certifications like Splunk Certified Power User or Administrator is highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. These competencies help ensure the efficient detection, analysis, and mitigation of security incidents while facilitating effective teamwork in a remote environment.

What are the most commonly searched types of Splunk jobs in Baltimore, MD? The most popular types of Splunk jobs in Baltimore, MD are:
What are popular job titles related to Remote Splunk jobs in Baltimore, MD? For Remote Splunk jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Splunk jobs in Baltimore, MD look for? The top searched job categories for Remote Splunk jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Splunk jobs? Cities near Baltimore, MD with the most Remote Splunk job openings:
Infographic showing various Remote Splunk job openings in Baltimore, MD as of July 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.

Fullstack Engineer - U.S. Citizen (Remote)

Archesys Inc

Baltimore, MD • Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Archesys is a technology firm specializing in innovative cloud solutions and services for clients across various industries. We pride ourselves on our cutting-edge technologies, exceptional customer service, and collaborative work environment.

We're looking for a highly motivated and skilled Fullstack Engineer to join our team, focusing on Observability and Site Reliability Engineering (SRE). In this critical role, you'll be at the forefront of designing, developing, deploying, and ensuring the operational excellence of our Grafana dashboards and the vital data pipelines that feed them. You'll bridge the gap between intuitive front-end visualizations and robust back-end data engineering, ensuring our monitoring solutions are scalable, resilient, and provide actionable insights for our engineering and operations teams. You'll also play a key role in building and automating our DevOps pipelines, all while leveraging the power of AWS.

This position demands a blend of strong software engineering prowess, a deep understanding of SRE principles, expertise in leveraging Grafana to its fullest potential, and significant experience with AWS cloud services and DevOps build automation. You'll be instrumental in enhancing our system visibility, enabling proactive issue detection, and driving continuous improvement in our service reliability.

This is a fully remote, full-time position.

Key Responsibilities:

Grafana Dashboard Development:

Design, develop, and maintain comprehensive, intuitive, and real-time Grafana dashboards that visualize key operational metrics, business KPIs, and application logs.

  • Collaborate with SRE, development, and product teams to gather requirements and translate complex data into clear, actionable visualizations.
  • Optimize Grafana dashboards for performance, scalability, and usability, ensuring quick loading times and effective data presentation.
  • Implement alerting rules within Grafana to proactively notify teams of anomalies and potential issues.

Data Pipeline Engineering (Backend Focus):

  • Design and implement robust ETL/ELT pipelines to extract, transform, and load data from various sources (e.g., Prometheus, Splunk, CloudWatch, RDS, OpenTelemetry, custom APIs) into data stores consumable by Grafana.
  • Write and optimize complex queries (SQL, PromQL, Splunk SPL, etc.) to ensure data accuracy and efficiency.
  • Develop and maintain APIs to facilitate data exchange and integration between different system components and monitoring tools.
  • Implement data quality checks, performance tuning (indexing, partitioning), and backup/restore strategies for data sources.

AWS Infrastructure Management:

  • Design, deploy, and manage scalable and resilient AWS infrastructure to support Grafana instances, data sources, and related services.
  • Utilize AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, Kinesis, DynamoDB, and others to build and optimize our observability platform.
  • Implement security best practices within the AWS environment, including IAM roles, security groups, and network configurations.

DevOps Build Automation:

  • Design, implement, and maintain robust CI/CD pipelines for automating the build, testing, and deployment of Grafana dashboards, underlying data pipelines, and infrastructure as code.
  • Utilize tools like AWS CodePipeline, Jenkins, GitLab CI, or similar for continuous integration and continuous deployment.
  • Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible for managing all AWS resources.
  • Automate operational tasks, monitoring deployments, and testing processes to improve efficiency and reliability.

Site Reliability Engineering (SRE) Practices:

  • Apply SRE principles to ensure the reliability, scalability, and performance of our monitoring and observability infrastructure.
  • Participate in on-call rotations, responding to alerts and incidents related to dashboard functionality, data accuracy, and performance.
  • Conduct root cause analysis (RCA) for incidents and implement corrective actions to prevent recurrence.
  • Define and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for key services, ensuring dashboards reflect these metrics accurately.

Documentation and Collaboration:

  • Work closely with cross-functional teams (development, operations, product) to understand monitoring needs and provide expert guidance on observability best practices.
  • Create and maintain comprehensive documentation detailing dashboard designs, data sources, query logic, AWS architecture, and operational procedures.
  • Contribute to code reviews, promote best practices, and mentor junior team members.


Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 4-7 years of experience in a Fullstack Development, Data Engineering, or SRE role with a strong focus on monitoring, observability, and AWS infrastructure.
  • Proven hands-on experience designing, developing, and maintaining complex Grafana dashboards.
  • Strong proficiency in at least one backend programming language (e.g., Python, Go, Java, Node.js).
  • Extensive experience with various data sources for Grafana (e.g., Prometheus, Loki, Splunk, SQL databases, CloudWatch).
  • Deep hands-on experience with AWS cloud services, including but not limited to EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, Kinesis, DynamoDB.
  • Proven experience designing and implementing robust CI/CD pipelines and DevOps automation using tools like AWS CodePipeline, Jenkins, GitLab CI, or similar.
  • Strong experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
  • Solid understanding of SRE principles, including SLOs, SLIs, error budgets, toil reduction, and incident management.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Excellent analytical and problem-solving skills with a keen eye for detail.
  • Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to diverse audiences.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Nice to Have:

  • AWS Certifications (e.g., Solutions Architect, DevOps Engineer).
  • Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry).
  • Knowledge of distributed tracing concepts and tools (e.g., Jaeger, Tempo).
  • Experience with machine learning for anomaly detection in time-series data.
  • Contributions to open-source projects related to Grafana or observability.

What We Offer:

  1. Competitive salary and benefits package, including health, dental, and vision insurance, retirement plan, and generous paid time off.
  2. Opportunity to work with a talented team of professionals on exciting and innovative projects.
  3. Flexible work arrangements, including remote work options.
  4. Continuous learning and development opportunities, including access to training resources and professional development programs.
  5. A collaborative, inclusive work environment that values diversity and encourages growth.

Join us at Archesys and be part of a team dedicated to delivering cutting-edge cloud solutions for clients in the public sector. Your expertise and passion for technology will help us continue to innovate and grow. We look forward to welcoming you to our team and supporting your success as a Fullstack Engineer.

Archesys participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Archesys is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates, regardless of race, color, religion, sex.